Related references
Note: Only part of the references are listed.Prediction and Estimation of Parkinson's Disease Severity Based on Voice Signal
Daria Hemmerling et al.
JOURNAL OF VOICE (2022)
Parkinson disease detection using energy direction features based on EMD from voice signal
Tao Zhang et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2021)
Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson?s disease prediction
Biswajit Karan et al.
COMPUTER SPEECH AND LANGUAGE (2021)
Analysis of voice as an assisting tool for detection of Parkinson's disease and its subsequent clinical interpretation
Gabriel Solana-Lavalle et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
An efficient dimensionality reduction method using filter-based feature selection and variational autoencoders on Parkinson's disease classification
Hakan Gunduz
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2021)
A Comparative Analysis of Machine Learning classifiers for Dysphonia-based classification of Parkinson's Disease
Jinee Goyal et al.
INTERNATIONAL JOURNAL OF DATA SCIENCE AND ANALYTICS (2021)
Parkinson disease prediction using intrinsic mode function based features from speech signal
Biswajit Karan et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
Automatic Parkinson disease detection at early stages as a pre-diagnosis tool by using classifiers and a small set of vocal features
Gabriel Solana-Lavalle et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2020)
Assessment of speech impairment in patients with Parkinson's disease from acoustic quantifications of oral diadochokinetic sequences
Fredrik Karlsson et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2020)
Hilbert spectrum analysis for automatic detection and evaluation of Parkinson's speech
Biswajit Karan et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2020)
Parkinson's disease or atypical parkinsonism? The importance of acoustic voice analysis in differential diagnosis of speech disorders
Renata Kowalska-Taczanowska et al.
BRAIN AND BEHAVIOR (2020)
Speech Based Estimation of Parkinson's Disease Using Gaussian Processes and Automatic Relevance Determination
Vladimir Despotovic et al.
NEUROCOMPUTING (2020)
Detection of Articulatory Deficits in Parkinson's Disease: Can Systematic Manipulations of Phonetic Complexity Help?
Mili Kuruvilla-Dugdale et al.
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH (2020)
Analysis of Smartphone Recordings in Time, Frequency, and Cepstral Domains to Classify Parkinson's Disease
Ilias Tougui et al.
HEALTHCARE INFORMATICS RESEARCH (2020)
Detection of Pathological Voice Using Cepstrum Vectors: A Deep Learning Approach
Shih-Hau Fang et al.
JOURNAL OF VOICE (2019)
Detection of Parkinson's disease based on voice patterns ranking and optimized support vector machine
Salim Lahmiri et al.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL (2019)
A recurrence plot-based approach for Parkinson's disease identification
Luis C. S. Afonso et al.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)
Speech difficulties in early de novo patients with Parkinson's disease
Sotirios Polychronis et al.
PARKINSONISM & RELATED DISORDERS (2019)
Motor speech and non-motor language endophenotypes of Parkinson's disease
Michelle Magee et al.
EXPERT REVIEW OF NEUROTHERAPEUTICS (2019)
Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach
Juan Camilo Vasquez-Correa et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2019)
A comparative analysis of speech signal processing algorithms for Parkinson's disease classification and the use of the tunable Q-factor wavelet transform
C. Okan Sakar et al.
APPLIED SOFT COMPUTING (2019)
Discriminating Parkinson diseased and healthy people using modified MFCC filter bank approach
Savitha S. Upadhya et al.
INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY (2019)
Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson's Disease Patients
Juan Camilo Vasquez-Correa et al.
PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS (CIARP 2019) (2019)
A hybrid intelligent system for the prediction of Parkinson's Disease progression using machine learning techniques
Mehrbakhsh Nilashi et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2018)
Optimized cuttlefish algorithm for diagnosis of Parkinson's disease
Deepak Gupta et al.
COGNITIVE SYSTEMS RESEARCH (2018)
Improved diagnosis of Parkinson's disease using optimized crow search algorithm
Deepak Gupta et al.
COMPUTERS & ELECTRICAL ENGINEERING (2018)
Analysis of the Hilbert Spectrum for Text-Dependent Speaker Verification
Rajib Sharma et al.
SPEECH COMMUNICATION (2018)
Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease
J. C. Vasquez-Correa et al.
JOURNAL OF COMMUNICATION DISORDERS (2018)
Information Content and Efficiency in the Spoken Discourse of Individuals With Parkinson's Disease
Angela Roberts et al.
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH (2018)
Speech disorders in Parkinson's disease: pathophysiology, medical management and surgical approaches
Khashayar Dashtipour et al.
NEURODEGENERATIVE DISEASE MANAGEMENT (2018)
Using Human Factor Cepstral Coefficient on Multiple Types of Voice Recordings for Detecting Patients with Parkinson's Disease
A. Benba et al.
IRBM (2017)
Detecting Parkinson's disease from sustained phonation and speech signals
Evaldas Vaiciukynas et al.
PLOS ONE (2017)
Parkinson Disease Detetion from Speech Articulation Neuromechanics
Pedro Gomez-Vilda et al.
FRONTIERS IN NEUROINFORMATICS (2017)
Automated analysis of connected speech reveals early biomarkers of Parkinson's disease in patients with rapid eye movement sleep behaviour disorder
Jan Hlavnicka et al.
SCIENTIFIC REPORTS (2017)
Characterisation of voice quality of Parkinson's disease using differential phonological posterior features
Milos Cernak et al.
COMPUTER SPEECH AND LANGUAGE (2017)
Clear Speech Variants: An Acoustic Study in Parkinson's Disease
Jennifer Lam et al.
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH (2016)
Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words
J. R. Orozco-Arroyave et al.
EXPERT SYSTEMS (2015)
Diagnosis of Parkinson's Disease Using Speech Samples and Threshold-Based Classification
Wojciech Froelich et al.
JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS (2015)
Cepstral separation difference: A novel approach for speech impairment quantification in Parkinson's disease
Taha Khan et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2014)
Classification of speech intelligibility in Parkinson's disease
Taha Khan et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2014)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)
Automatic Evaluation of Articulatory Disorders in Parkinson's Disease
Michal Novotny et al.
IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2014)
Novel Speech Signal Processing Algorithms for High-Accuracy Classification of Parkinson's Disease
Athanasios Tsanas et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2012)
A parallel neural network approach to prediction of Parkinson's Disease
Freddie Astrom et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Quantitative acoustic measurements for characterization of speech and voice disorders in early untreated Parkinson's disease
J. Rusz et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2011)
Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease
Max A. Little et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2009)
Speech pitch determination based on Hilbert-Huang transform
H Huang et al.
SIGNAL PROCESSING (2006)